Data Modeler

Role Overview We are seeking a highly experienced Data Modeler to design and implement enterprise-grade data solutions. This role requires deep expertise in data modeling principles, data architecture frameworks, and modern cloud-based platforms. The candidate will play a critical role in shaping our data ecosystem, ensuring scalability, performance, and alignment with business needs. Key Responsibilities • Data Modeling: • Design conceptual, logical, and physical data models for structured and semi-structured data. • Define entity relationships, normalization/denormalization strategies, and dimensional modeling for analytics. • Develop star and snowflake schemas for data warehouses and analytical workloads. • Ensure data integrity, consistency, and compliance with governance standards. • Data Architecture: • Architect end-to-end data solutions leveraging modern frameworks and best practices. • Implement Medallion architecture (Bronze, Silver, Gold layers) for scalable data pipelines. • Optimize data storage and retrieval strategies for performance and cost efficiency. • Collaborate with engineering teams to design data ingestion, transformation, and integration workflows. • Technology Stack: • Hands-on experience with Google BigQuery for large-scale analytics. • Expertise in Databricks for data engineering and advanced analytics. • Familiarity with cloud-native architectures, distributed systems, and data lakehouse concepts. Required Qualifications • 10+ years of experience in data modeling and data architecture. • Proven track record in designing enterprise data warehouses and analytical platforms. • Strong understanding of Medallion architecture and modern data lakehouse design. • Proficiency in SQL, data modeling tools (e.g., ERwin, PowerDesigner), and ETL/ELT frameworks. • Hands-on experience with Google BigQuery and Databricks. Skills: Preferred Skills • Knowledge of data governance, metadata management, and master data management. • Experience with performance tuning and query optimization in large-scale environments. • Familiarity with data security and compliance standards.